luminaire
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Luminaire is a python package that provides ML driven solutions for monitoring time series data.
Most data types are documented in docstrings. We should move them all to type hints because this will allow use to run static type checks, and as a benefit, catch...
We should formalize our data interface by using dataclasses instead of tuples and dictionaries when returning data. This can help in many ways - eliminate the possibility of missing a...
We should add a disclaimer to point out the fact that this package is still in beta, and breaking changes may be introduced in any future minor version.
We should add an example in the documentation on how non-US users can create their own holidays.
_detect_window_size is currently not optimized for weekly time series data in order to detect the most frequent periodic pattern. This issue need some investigation on that front. Reference: https://github.com/zillow/luminaire/pull/114 Note:...
Reference: https://github.com/papaemman/luminaire_demo TL:DR; Data Exploration module doesn't work for time series with frequency 'W' because of a missing variable (tc_window_length). Any idea why is this happening?